This Advanced Kind Of AI Could Be The Secret To AI Assistants
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- เผยแพร่เมื่อ 29 มิ.ย. 2024
- How will multimodal AI transform our technology and how we interact with AI? This conversation from Imagination In Action’s ‘Forging the Future of Business with AI’ Summit in April 2024 touches on how this advanced AI could be the secret to more advanced technological advances.
0:00 Introduction
1:20 What Is Multimodal AI?
4:40 How AI Can Be Implemented Into Marketing Practices And Platforms
8:04 Vector Representation Of AI In Videos: How Can It Be Better?
15:08 New Developments With MultiModal AI
19:30 Robotics And AI: How Far Away Are We?
23:55 What Differentiates Companies That Will Succeed With Implementing AI?
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You should use AI to filter out the sounds from the crowd and re-upload. You need to use your AI tools better.
MMM (multi modal models) imbued with EQ (emotional intelligence) such as empathy and so on is the next phase of the evolution of AI. Hume AI and Inflection’s PI AI are leading the way. GPT 4o is promising, (as demoed) and perhaps the best AI model to come so far regarding reasoning across texts, voice and vision. This panel features those doing exciting and crucial research!
I mean you could’ve use Adobe to Denoise this video so distracting the noises
00:00:01 AI Revolution Panel Overview
00:01:05 Introductions and Exciting Multimodal AI Ability
00:02:53 Multimodal AI for Video Understanding
00:04:48 Digital Communication and Data Mining
00:05:42 AI Impact on Sales
00:06:23 Video Understanding Technology
00:07:27 Semantic Search & Video Transformers
00:09:11 Improving Customer Experience Metrics
00:10:31 Innovative AI Usage Discussion
00:12:08 AI Impact on Communication
00:13:23 Analyzing Data and Ethics
00:14:53 Challenges with Training Data
00:16:24 Future of Conversations and AI Models
00:17:20 Innovative advancements and collaborations
00:18:23 AI in Enhancing Lectures & Voice Interactions
00:20:10 Customer Service and AI
00:21:02 Challenges of Trusting AI in Companies
00:22:17 Advanced AI Models and Context Understanding
00:23:22 Challenges of Coding Human Conversation
00:24:17 Deep Verticalization in Home Services
00:25:49 Video Data Labeling and Infrastructure
00:26:40 Building Trust in AI
00:27:34 Importance of rich data for verticalization
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Which one has the tighter fit pants of all or the tacky suede boots?
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Worst title ever.
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